{"id":"W2960255877","doi":"10.1109/iccw.2019.8757186","title":"Advanced Grant-Free Transmission for Small Packets URLLC Services","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Aperiodic graph; Telecommunications link; Network packet; Computer network; Latency (audio); Transmission (telecommunications); Reliability (semiconductor); Low latency (capital markets); Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002472897,0.0004781706,0.0004773913,0.0004633729,0.0006400653,0.001014674,0.001089052,0.0005697726,0.002138887],"category_scores_gemma":[0.004962942,0.0001574014,0.0003480951,0.0003609679,0.0006341762,0.001407097,0.0007231816,0.0007645138,0.0004275455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006448897,"about_ca_system_score_gemma":0.001169099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002331251,"about_ca_topic_score_gemma":0.001860523,"domain_scores_codex":[0.9983661,0.0005407218,0.0001178957,0.0001219254,0.0005846067,0.0002687807],"domain_scores_gemma":[0.9975957,0.0006667469,0.0003101199,0.0005475245,0.0007600791,0.0001197978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002101226,0.0008065248,0.009974803,0.001216042,0.0002316149,0.001643099,0.001241521,0.3095584,0.1817567,0.1396266,0.01256206,0.3392814],"study_design_scores_gemma":[0.0001937687,0.001052387,0.001757923,0.00005391365,0.00009227502,0.0008601983,0.0001109698,0.9398183,0.02818411,0.01018776,0.0175942,0.00009426941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2990662,0.001405915,0.6815479,0.0006378309,0.0003746991,0.0007774507,0.0002386024,0.003016917,0.01293441],"genre_scores_gemma":[0.9563941,0.0003002058,0.04101728,0.00008242712,0.00006776817,0.0001692014,0.00009336654,0.00004261379,0.001833018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002472897,"threshold_uncertainty_score":0.01307803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009420833415232126,"score_gpt":0.210913509485101,"score_spread":0.2014926760698689,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}